WebSep 1, 2024 · A risk analysis framework combining uncertainty reasoning (UR) and deterministic modeling (DM). • The framework leverages the benefits of UR and DM … WebThis paper presents a deterministic uncertainty analysis (DUA) method for calculating uncertainties that has the potential to significantly reduce the number of computer runs …
Process simulation and techno-economic assessment of
WebMay 1, 2024 · The uncertainty analysis showed a chance for investment failure in S_1 less than 10%, whereas for S_2 and S_3 it ranged between 31–37%. ... most of the studies analyzing the economic profitability of vinasse-to-biogas applications use deterministic models with fixed inputs (Junqueira et al., 2016; Leme and Seabra, 2024; Moraes et al., … WebThis paper presents a deterministic uncertainty analysis (DUA) method for calculating uncertainties that has the potential to significantly reduce the number of computer runs … biomass conversion and biore
Comparison of results based on a deterministic versus a statistical ...
WebJun 23, 2024 · Deterministic is easier to understand and hence may be more appropriate for some customers. Cons Cash flow modelling tools that use deterministic or over-simplistic stochastic projections are … WebNov 17, 2016 · The key objective of uncertainty analysis is to support better decision making. Uncertainty analysis can help inform the standard decision options of ... decision makers) that the model is working appropriately. That is, by changing the value of individual parameters in deterministic sensitivity analysis, it is possible to check that the model ... WebAug 31, 2024 · Since 2000, the research of uncertainty quantification (UQ) has been successfully applied in many fields and has been highly valued and strongly supported by academia and industry. This review firstly discusses the sources and the types of uncertainties and gives an overall discussion on the goal, practical significance, and … daily post rhyl